STOCKTWITS EDGE

Premarket 2024/08/05 08:55:00 EST

Madison Wray
August 05, 2024

STOCKTWITS EDGE: Premarket 2024/08/05

08:55:00 EST

This Context Analytics early STOCKTWITS EDGE Report highlights stocks, sectors, and industries with a significant positive and negative social sentiment (S-Scores) before the market closes.

S-Scores greater than +2, and S-Scores less than -2 are statistically significant at predicting price movement (up or down) for individual stocks.

TOP S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
BCRX	BioCryst Pharmaceuticals, Inc.	Extremely Positive	Above Normal	82
TSN	Tyson Foods, Inc.	Extremely Positive	Extremely High	15
AXSM	Axsome Therapeutics, Inc.	High Positive	Extremely High	28
CNSP	CNS Pharmaceuticals, Inc.	High Positive	Normal	124
K	Kellanova	High Positive	Extremely High	14
INDO	Indonesia Energy Corp Ltd.	High Positive	High	139
XELA	Exela Technologies, Inc.	High Positive	Normal	30
VLD	Velo3D, Inc.	Positive	Normal	15
SPCB	SuperCom, Ltd.	Positive	Normal	35
HUBC	HUB Cyber Security Ltd.	Positive	Normal	48

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
BNTX	BioNTech SE	Extremely Negative	Above Normal	21
AAPL	Apple Inc.	Extremely Negative	Above Normal	1104
MSTR	MicroStrategy Inc.	High Negative	Normal	272
CSIQ	Canadian Solar Inc.	High Negative	Normal	15
NVAX	Novavax, Inc.	High Negative	Normal	138
BNZI	Banzai International, Inc.	High Negative	Normal	14
HOOD	Robinhood Markets, Inc.	High Negative	Above Normal	142
AQST	Aquestive Therapeutics, Inc.	High Negative	Normal	15
ATOS	Atossa Therapeutics, Inc.	Negative	Normal	16
EOSE	Eos Energy Enterprises, Inc.	Negative	Normal	15

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Consumer Non-Durable	Neutral	Normal	332
Consumer Durables	Neutral	Normal	342
Capital Goods	Neutral	Normal	2409
Transportation	Neutral	Below Normal	148
Public Utilities	Neutral	Normal	187
Energy	Negative	Normal	545
Health Care	Negative	Below Normal	3177
Finance	Negative	Below Normal	3690
Miscellaneous	Negative	Normal	156
Consumer Services	Negative	Normal	4132

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Meat/Poultry/Fish	Consumer Non-Durable	Extremely Positive	Extremely High	17
Plastic Products	Consumer Non-Durable	Neutral	Normal	24
Retail: Computer Software & Peripheral Equipment	Technology	Neutral	Normal	36
Biotechnology	Health Care	Neutral	Normal	341
Broadcasting	Consumer Services	Neutral	Normal	86
Property & Casualty Insurance	Finance	Neutral	Above Normal	41
Beverages (Production/Distribution)	Consumer Non-Durable	Neutral	Normal	73
Consumer Electronics/Video Chains	Consumer Services	Neutral	Normal	49
Computer Communications Equipment	Technology	Neutral	Normal	11
Services-Misc. Amusement & Recreation	Consumer Services	Neutral	Normal	217

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Computer Manufacturing	Technology	High Negative	Normal	1379
Hotels/Resorts	Consumer Services	High Negative	Normal	47
Homebuilding	Capital Goods	Negative	Normal	16
Major Banks	Finance	Negative	Below Normal	103
Major Chemicals	Basic Industries	Negative	Normal	91
Clothing/Shoe/Accessory Stores	Consumer Services	Negative	Below Normal	11
Telecommunications Equipment	Public Utilities	Negative	Normal	560
Electronic Components	Capital Goods	Negative	Normal	20
Precious Metals	Basic Industries	Negative	Normal	109
Finance/Investors Services	Finance	Negative	Normal	65

Context Analytics provides you with real-time social sentiment through our S-Score and other metrics, called S-Factors. Sentiment is gathered from Twitter using a proprietary algorithmic method to provide clean, back-testable scores on 8,000 US-traded securities (including industries, indices and sectors).

Social Market Analytics (SMA) is not an investment advisor, broker or dealer and therefore does not provide any investment advice, nor does it participate in the offer, sale or distribution of securities. Unless clearly stated otherwise, SMA is impartial and does not receive compensation for posting information regarding stocks or companies that appear on this site or in our communications.

SMA quantifies Social Media "buzz". SMA data is intended to be used by investors and traders to supplement and improve their trading strategies, by providing information to help them to make better informed decisions.

You are responsible for making your own trading and investment decisions. Our goal is to make those decisions more informed. We will not be liable for any loss or damage caused by any reliance on information obtained on our web sites or in our communications.

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